Nothing Special   »   [go: up one dir, main page]

Anilkumar et al., 2022 - Google Patents

Research contribution and comprehensive review towards the semantic segmentation of aerial images using deep learning techniques

Anilkumar et al., 2022

View PDF @Full View
Document ID
3995122289398831446
Author
Anilkumar P
Venugopal P
Publication year
Publication venue
Security and Communication Networks

External Links

Snippet

Semantic segmentation is a significant research topic for decades and has been employed in several applications. In recent years, semantic segmentation has been focused on different deep learning approaches in the area of computer vision, which has aimed for …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Zhang et al. Artificial intelligence for remote sensing data analysis: A review of challenges and opportunities
Guo et al. Scene-driven multitask parallel attention network for building extraction in high-resolution remote sensing images
Wen et al. Directionally constrained fully convolutional neural network for airborne LiDAR point cloud classification
Boulch ConvPoint: Continuous convolutions for point cloud processing
Hua et al. Recurrently exploring class-wise attention in a hybrid convolutional and bidirectional LSTM network for multi-label aerial image classification
Chen et al. Automatic graph learning convolutional networks for hyperspectral image classification
Zhou et al. BOMSC-Net: Boundary optimization and multi-scale context awareness based building extraction from high-resolution remote sensing imagery
Zhang et al. A local–global dual-stream network for building extraction from very-high-resolution remote sensing images
Elharrouss et al. Panoptic segmentation: A review
Fooladgar et al. A survey on indoor RGB-D semantic segmentation: from hand-crafted features to deep convolutional neural networks
Liu et al. Few-shot image classification: Current status and research trends
Liu et al. Survey of road extraction methods in remote sensing images based on deep learning
Pierdicca et al. GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data
Cheng et al. Cascaded non-local neural network for point cloud semantic segmentation
Jiang et al. Local and global structure for urban ALS point cloud semantic segmentation with ground-aware attention
Anilkumar et al. Research contribution and comprehensive review towards the semantic segmentation of aerial images using deep learning techniques
Song et al. Contextualized CNN for scene-aware depth estimation from single RGB image
Yang et al. A change detection method for remote sensing images based on coupled dictionary and deep learning
Chen et al. A review of object detection: Datasets, performance evaluation, architecture, applications and current trends
Liu et al. Few-shot object detection in remote sensing image interpretation: Opportunities and challenges
Yang et al. Automated semantics and topology representation of residential-building space using floor-plan raster maps
Yang et al. Multi-Frequency Graph Convolutional Network with Cross-Modality Mutual Enhancement for Multisource Remote Sensing Data Classification
Kamsu-Foguem et al. Generative Adversarial Networks based on optimal transport: a survey
Palle et al. Automated image and video object detection based on hybrid heuristic-based U-net segmentation and faster region-convolutional neural network-enabled learning
Lin et al. MS-AGAN: Road Extraction via Multi-Scale Information Fusion and Asymmetric Generative Adversarial Networks from High-Resolution Remote Sensing Images under Complex Backgrounds